Evolutionary Virus Immune Strategy Based on Community Vitality

Preventing viruses from spreading in networks is a hot topic. Existing works designed immune strategies for static networks, which become invalid for temporal networks due to their dynamic characteristics and community structure. In this paper, taking into consideration of the evolutionary communities, we propose an evolutionary virus immune strategy for temporal networks. First, we define a new metric, community vitality (CV), to measure the evolution speed of communities. Second, a theoretical model is proposed to analyze the propagation speed of vaccines in temporal networks. Third, we propose an immune strategy that selects a given number of initial nodes that have longer presence and stronger interactions. Compared with the random immunization and the targeted immunization, we show that the proposed scheme has much large coverage.